Department of Epidemiology and Biostatistics, College of Public Health, the University of Georgia, Athens, Georgia
Department of Epidemiology and Biostatistics, College of Public Health, the University of Georgia, Athens, Georgia.
Ann Fam Med. 2019 Mar;17(2):164-172. doi: 10.1370/afm.2354.
To evaluate the accuracy of signs and symptoms for the diagnosis of acute rhinosinusitis (ARS).
We searched Medline to identify studies of outpatients with clinically suspected ARS and sufficient data reported to calculate the sensitivity and specificity. Of 1,649 studies initially identified, 17 met our inclusion criteria. Acute rhinosinusitis was diagnosed by any valid reference standard, whereas acute bacterial rhinosinusitis (ABRS) was diagnosed by purulence on antral puncture or positive bacterial culture. We used bivariate meta-analysis to calculate summary estimates of test accuracy.
Among patients with clinically suspected ARS, the prevalence of imaging confirmed ARS is 51% and ABRS is 31%. Clinical findings that best rule in ARS are purulent secretions in the middle meatus (positive likelihood ratio [LR+] 3.2) and the overall clinical impression (LR+ 3.0). The findings that best rule out ARS are the overall clinical impression (negative likelihood ratio [LR-] 0.37), normal transillumination (LR- 0.55), the absence of preceding respiratory tract infection (LR- 0.48), any nasal discharge (LR- 0.49), and purulent nasal discharge (LR- 0.54). Based on limited data, the overall clinical impression (LR+ 3.8, LR- 0.34), cacosmia (fetid odor on the breath) (LR+ 4.3, LR- 0.86) and pain in the teeth (LR+ 2.0, LR- 0.77) are the best predictors of ABRS. While several clinical decision rules have been proposed, none have been prospectively validated.
Among patients with clinically suspected ARS, only about one-third have ABRS. The overall clinical impression, cacosmia, and pain in the teeth are the best predictors of ABRS. Clinical decision rules, including those incorporating C-reactive protein, and use of urine dipsticks are promising, but require prospective validation.
评估急性鼻-鼻窦炎(ARS)的体征和症状的诊断准确性。
我们检索了 Medline,以确定对有临床疑似 ARS 症状且有足够数据报告以计算敏感性和特异性的门诊患者的研究。在最初确定的 1649 项研究中,有 17 项符合我们的纳入标准。急性鼻-鼻窦炎通过任何有效的参考标准诊断,而急性细菌性鼻-鼻窦炎(ABRS)则通过额窦穿刺有脓性分泌物或细菌培养阳性诊断。我们使用双变量荟萃分析计算测试准确性的综合估计值。
在有临床疑似 ARS 的患者中,影像学证实的 ARS 患病率为 51%,ABRS 为 31%。最有助于诊断 ARS 的临床发现是中鼻道脓性分泌物(阳性似然比[LR+]3.2)和整体临床印象(LR+3.0)。最有助于排除 ARS 的发现是整体临床印象(阴性似然比[LR-]0.37)、正常透光(LR-0.55)、无前呼吸道感染史(LR-0.48)、任何鼻腔分泌物(LR-0.49)和脓性鼻腔分泌物(LR-0.54)。基于有限的数据,整体临床印象(LR+3.8,LR-0.34)、口臭(呼吸有臭味)(LR+4.3,LR-0.86)和牙齿疼痛(LR+2.0,LR-0.77)是 ABRS 的最佳预测因素。虽然已经提出了几种临床决策规则,但没有一种得到前瞻性验证。
在有临床疑似 ARS 的患者中,只有约三分之一患有 ABRS。整体临床印象、口臭和牙齿疼痛是 ABRS 的最佳预测因素。包括 C 反应蛋白在内的临床决策规则以及使用尿液试纸条很有前景,但需要前瞻性验证。